Richard M. Karp

63.5k total citations · 14 hit papers
263 papers, 28.9k citations indexed

About

Richard M. Karp is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Richard M. Karp has authored 263 papers receiving a total of 28.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computational Theory and Mathematics, 80 papers in Computer Networks and Communications and 73 papers in Artificial Intelligence. Recurrent topics in Richard M. Karp's work include Complexity and Algorithms in Graphs (42 papers), Algorithms and Data Compression (42 papers) and Optimization and Search Problems (34 papers). Richard M. Karp is often cited by papers focused on Complexity and Algorithms in Graphs (42 papers), Algorithms and Data Compression (42 papers) and Optimization and Search Problems (34 papers). Richard M. Karp collaborates with scholars based in United States, Israel and Canada. Richard M. Karp's co-authors include Scott Shenker, Michael Held, Mark Handley, Sylvia Ratnasamy, Paul Francis, John E. Hopcroft, Jack Edmonds, Raymond E. Miller, Michael Luby and Michael O. Rabin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Richard M. Karp

254 papers receiving 26.2k citations

Hit Papers

A scalable content-addres... 1962 2026 1983 2004 2001 1973 1972 2001 1993 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Richard M. Karp 14.6k 7.1k 6.2k 3.6k 3.3k 263 28.9k
Robert E. Tarjan 13.8k 0.9× 15.4k 2.2× 9.6k 1.5× 1.8k 0.5× 3.1k 1.0× 332 36.0k
David S. Johnson 16.6k 1.1× 12.7k 1.8× 8.5k 1.4× 1.7k 0.5× 10.8k 3.3× 113 41.8k
M. R. Garey 16.2k 1.1× 11.2k 1.6× 7.7k 1.2× 1.6k 0.4× 12.3k 3.8× 77 40.7k
John E. Hopcroft 4.7k 0.3× 8.0k 1.1× 6.3k 1.0× 1.5k 0.4× 996 0.3× 171 18.3k
Charles E. Leiserson 13.0k 0.9× 3.9k 0.6× 5.9k 0.9× 1.1k 0.3× 982 0.3× 142 25.1k
Alfred V. Aho 6.1k 0.4× 6.6k 0.9× 10.7k 1.7× 1.6k 0.5× 653 0.2× 116 21.1k
Jeffrey D. Ullman 14.3k 1.0× 7.3k 1.0× 16.6k 2.7× 1.5k 0.4× 1.3k 0.4× 300 31.7k
Thomas H. Cormen 6.5k 0.4× 2.8k 0.4× 4.8k 0.8× 1.0k 0.3× 837 0.3× 44 16.3k
V. J. Rayward‐Smith 5.0k 0.3× 2.6k 0.4× 4.5k 0.7× 945 0.3× 1.2k 0.4× 76 14.5k
Ronald L. Rivest 13.4k 0.9× 6.2k 0.9× 22.3k 3.6× 1.5k 0.4× 1.4k 0.4× 179 40.9k

Countries citing papers authored by Richard M. Karp

Since Specialization
Citations

This map shows the geographic impact of Richard M. Karp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard M. Karp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Karp more than expected).

Fields of papers citing papers by Richard M. Karp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard M. Karp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard M. Karp. The network helps show where Richard M. Karp may publish in the future.

Co-authorship network of co-authors of Richard M. Karp

This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Karp. A scholar is included among the top collaborators of Richard M. Karp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard M. Karp. Richard M. Karp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eaton, Charles B., et al.. (2019). Exploring structural control of stiffness in synthetic tendon. 1 indexed citations
2.
Daskalakis, Constantinos, Richard M. Karp, Elchanan Mossel, Samantha J. Riesenfeld, & Elad Verbin. (2009). Sorting and selection in posets. Symposium on Discrete Algorithms. 392–401. 10 indexed citations
3.
Lin, Henry, et al.. (2008). Linked decompositions of networks and the power of choice in Polya urns. Symposium on Discrete Algorithms. 993–1002. 1 indexed citations
4.
Daskalakis, Constantinos, Alexandros G. Dimakis, Richard M. Karp, & Martin J. Wainwright. (2007). Probabilistic analysis of linear programming decoding. arXiv (Cornell University). 385–394. 2 indexed citations
5.
Karp, Richard M. & Robert Kleinberg. (2007). Noisy binary search and its applications. Symposium on Discrete Algorithms. 881–890. 45 indexed citations
6.
Sharan, Roded, Silpa Suthram, Ryan Kelley, et al.. (2005). Conserved patterns of protein interaction in multiple species. Proceedings of the National Academy of Sciences. 102(6). 1974–1979. 507 indexed citations breakdown →
7.
Karp, Richard M., Jeremy Elson, Deborah Estrin, & Scott Shenker. (2003). Optimal and Global Time Synchronization in Sensornets. eScholarship (California Digital Library). 53 indexed citations
8.
Karp, Richard M.. (2003). The Role of Algorithmic Research in Computational Genomics. 10–12. 1 indexed citations
9.
Xing, Eric P., Michael I. Jordan, Richard M. Karp, & Stuart Russell. (2002). A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. Neural Information Processing Systems. 15. 1513–1520. 22 indexed citations
10.
Ratnasamy, Sylvia, Paul Francis, Mark Handley, Richard M. Karp, & Scott Shenker. (2001). A scalable content-addressable network. 161–172. 3899 indexed citations breakdown →
11.
Xing, Eric P., Michael I. Jordan, & Richard M. Karp. (2001). Feature selection for high-dimensional genomic microarray data. International Conference on Machine Learning. 601–608. 416 indexed citations
12.
Karp, Richard M.. (2001). The genomics revolution and its challenges for algorithmic research. 631–642. 2 indexed citations
13.
Jiang, Tao & Richard M. Karp. (1997). Mapping clones with a given ordering or interleaving. Symposium on Discrete Algorithms. 400–409. 4 indexed citations
14.
Etzioni, Oren, et al.. (1997). Fast and intuitive clustering of web documents. Knowledge Discovery and Data Mining. 287–290. 178 indexed citations
15.
Dagum, Paul, Richard M. Karp, Michael Luby, & Sheldon M. Ross. (1995). An Optimal Algorithm for Monte Carlo Estimation (Extended Abstract).. 142–149. 5 indexed citations
16.
Alizadeh, Farid, et al.. (1994). Physical mapping of chromosomes using unique probes. Symposium on Discrete Algorithms. 489–500. 19 indexed citations
17.
Alizadeh, Farid, et al.. (1993). Physical mapping of chromosomes: a combinatorial problem in molecular biology. Symposium on Discrete Algorithms. 371–381. 27 indexed citations
18.
Karp, Richard M.. (1986). The complexity of parallel computation. 197. 57 indexed citations
19.
Karp, Richard M., Jan Karel Lenstra, Colin McDiarmid, & A. H. G. Rinnooy Kan. (1984). Probabilistic analysis of combinatorial algorithms : an annotated bibliography. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–26. 3 indexed citations
20.
Johnson, David S., Michael L. Fredman, Richard M. Karp, et al.. (1983). Proceedings of the fifteenth annual ACM symposium on Theory of computing. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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